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Continue working on face triangulator example
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@@ -3,7 +3,6 @@ package main
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import "C"
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import (
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"fmt"
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"image"
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"image/color"
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"io/ioutil"
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@@ -12,6 +11,7 @@ import (
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"unsafe"
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"github.com/esimov/pigo/core"
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"github.com/esimov/triangle"
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)
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var (
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@@ -37,38 +37,81 @@ func FindFaces(pixels []uint8) uintptr {
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rows: 480,
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cols: 640,
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}
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proc := &triangle.Processor{
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BlurRadius: 4,
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SobelThreshold: 10,
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PointsThreshold: 20,
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MaxPoints: 100,
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Wireframe: 0,
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Noise: 0,
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StrokeWidth: 1,
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IsSolid: false,
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Grayscale: false,
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OutputToSVG: false,
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OutputInWeb: false,
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}
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tri := &triangle.Image{*proc}
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pointCh := make(chan uintptr)
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dets := px.clusterDetection(pixels)
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img := px.convertPixToImage(pixels)
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img := px.pixToImage(pixels)
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tFaces := make([][]int, len(dets))
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result := make([][]int, len(dets))
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det := make([]int, 0, len(dets))
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for i := 0; i < len(dets); i++ {
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if dets[i].Q >= 5.0 {
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result[i] = append(result[i], dets[i].Row, dets[i].Col, dets[i].Scale)
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rect := image.Rect(
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dets[i].Col-dets[i].Scale/2,
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dets[i].Row-dets[i].Scale/2,
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dets[i].Scale,
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dets[i].Scale,
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)
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subImg := img.(SubImager).SubImage(rect)
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fmt.Println(subImg.Bounds())
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}
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}
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totalPixDim := 0
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det := make([]int, 0, len(result))
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go func() {
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for i := 0; i < len(dets); i++ {
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if dets[i].Q >= 5.0 {
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result[i] = append(result[i], dets[i].Row, dets[i].Col, dets[i].Scale)
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rect := image.Rect(
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dets[i].Col-dets[i].Scale/2,
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dets[i].Row-dets[i].Scale/2,
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dets[i].Scale,
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dets[i].Scale,
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)
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subImg := img.(SubImager).SubImage(rect)
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bounds := subImg.Bounds()
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if bounds.Dx() > 1 && bounds.Dy() > 1 {
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triRes, _, _, err := tri.Draw(subImg, false, func() {})
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if err != nil {
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log.Fatal(err.Error())
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}
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triPix := px.imgToPix(triRes)
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tFaces[i] = append(tFaces[i], triPix...)
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// Prepend the top left coordinates of the detected faces to the delaunay triangles.
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tFaces[i] = append([]int{len(triPix), bounds.Min.X, bounds.Min.Y}, tFaces[i]...)
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totalPixDim += len(triPix)
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}
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}
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}
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// Since in Go we cannot transfer a 2d array trough an array pointer
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// we have to transform it into 1d array.
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for _, v := range result {
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det = append(det, v...)
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}
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// Convert the multidimmensional slice containing the triangulated images to 1d slice.
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convTri := make([]int, 0, len(result)+totalPixDim)
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for _, v := range tFaces {
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convTri = append(convTri, v...)
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}
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// Include as a first slice element the number of detected faces.
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// We need to transfer this value in order to define the Python array buffer length.
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det = append([]int{len(result), 0, 0}, det...)
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// Append the generated triangle slices to detected faces array.
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det = append(det, convTri...)
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// Convert the slice into an array pointer.
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s := *(*[]int)(unsafe.Pointer(&det))
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p := uintptr(unsafe.Pointer(&s[0]))
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@@ -122,7 +165,8 @@ func (px pixs) clusterDetection(pixels []uint8) []pigo.Detection {
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return dets
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}
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func (px pixs) convertPixToImage(pixels []uint8) image.Image {
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// pixToImage converts the pixel array to an image.
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func (px pixs) pixToImage(pixels []uint8) image.Image {
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width, height := px.cols, px.rows
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img := image.NewRGBA(image.Rect(0, 0, width, height))
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c := color.RGBA{
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@@ -143,3 +187,19 @@ func (px pixs) convertPixToImage(pixels []uint8) image.Image {
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}
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return img
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}
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// imgToPix converts the image to a pixel array.
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func (px pixs) imgToPix(img image.Image) []int {
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bounds := img.Bounds()
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x := bounds.Dx()
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y := bounds.Dy()
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pixels := make([]int, 0, x*y*3)
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for i := bounds.Min.X; i < bounds.Max.X; i++ {
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for j := bounds.Min.Y; j < bounds.Max.Y; j++ {
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r, g, b, _ := img.At(i, j).RGBA()
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pixels = append(pixels, int(r>>8), int(g>>8), int(b>>8), 255)
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}
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}
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return pixels
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}
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